| Paper: | TP-P5.3 |
| Session: | Image and Video Artifact Removal and Denoising |
| Time: | Tuesday, September 18, 14:30 - 17:10 |
| Presentation: |
Poster
|
| Title: |
QUALITY ENHANCEMENT FOR MOTION JPEG USING TEMPORAL REDUNDANCIES |
| Authors: |
Dung Vo; University of California, San Diego | | |
| | Truong Nguyen; University of California, San Diego | | |
| Abstract: |
We propose a post processing algorithm to enhance the quality of Motion JPEG (MJPEG) by exploiting temporal redundanies. The error between the estimated and original blocks is analyzed using the translational relation in the discrete cosine transform (DCT) domain. The proposed algorithm permits reconstructing the high frequency coefficients lost during quantization and therefore reduces the ringing artifact. Blocking artifact reduction is verified by the decrease in the variance of this coefficient error. Results in quality and PSNR improvement for both cases of integer and sub-pixel motion vectors are verified by simulations on video sequences. |
